ITA | ENG
B019160 - IMAGE AND VIDEO ANALYSIS
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2013-14
Coorte 2012 - Second Cycle Degree in Computer Engineering
Course year
Second year - Second Semester
Belonging Department
Information Engineering (DINFO)
Course Type
Single education field course
Scientific Area
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Credits
6
Teaching Hours
48
Teaching Term
03/03/2014 ⇒ 13/06/2014
Attendance required
No
Type of Evaluation
Final Grade
Course Content
show
Course program
show
Lectureship
Mutuality
Course teached as:
B010478 - ANALISI DI IMMAGINI E VIDEO
Second Cycle Degree in COMPUTER ENGINEERING
B010478 - ANALISI DI IMMAGINI E VIDEO
Second Cycle Degree in COMPUTER ENGINEERING
Teaching Language
Italian
Course Content
.
Suggested readings (Search our library's catalogue)
Digital Image Processing (III Ed.) R. Gonzalez, R.E. Woods.
Pearson International Edition.
Lucture notes available on the course website
Pearson International Edition.
Lucture notes available on the course website
Learning Objectives
The course aims at providing the knowledge and ability to design and implement modules for the analysis and processing of image and video data.
- Design and prototype of processing modules for anayzing image regions based on color and texture- Design and prototype of processing modules for image segmentation
- Design and prototype of processing modules for detection and tracking of moving objects in video
- Design and prototype of processing modules for anayzing image regions based on color and texture- Design and prototype of processing modules for image segmentation
- Design and prototype of processing modules for detection and tracking of moving objects in video
Prerequisites
.
Teaching Methods
Class lectures and lab activities using Matlab
Further information
.
Type of Assessment
Oral test
Course program
Data structures for image analysis
arrays
chains
graphs
pyramids
quadtrees
Brightness and geometric transforms
position dependent transforms
grayscale transforms
graylevel stretch
equalization
geometric transform
brightness interpolation
Local operators
smoothing
averaging
gaussian
limited data validity
inverse gradient
median
edge detectors
gradient
laplacian
laplacian of Gaussian
difference of Gaussians
Canny
parametric edge models
detection in color images
Scale space theory
multiscale representation
image pyramids
scale space
Interest points
Harris corner detector
Hessian corner detector
Textures
co-occurrence matrix
Tamura
bars and blobs
Gabor
moments
Color invariants
Segmentation
Gestalt principles
Hough
generalized Hough
watersheds
thresholding
hierarchical clustering
k-means clustering
GMM clustering
mean shift clustering
normalized cuts
Mathematical morphology (binary and grayscale)
Video analysis
motion field of rigid objects
optical flow
aperture problem
Horn-Schunk method
Lucas-Kanade method
motion-based segmentation
background subtraction
object tracking
Kalman filter
arrays
chains
graphs
pyramids
quadtrees
Brightness and geometric transforms
position dependent transforms
grayscale transforms
graylevel stretch
equalization
geometric transform
brightness interpolation
Local operators
smoothing
averaging
gaussian
limited data validity
inverse gradient
median
edge detectors
gradient
laplacian
laplacian of Gaussian
difference of Gaussians
Canny
parametric edge models
detection in color images
Scale space theory
multiscale representation
image pyramids
scale space
Interest points
Harris corner detector
Hessian corner detector
Textures
co-occurrence matrix
Tamura
bars and blobs
Gabor
moments
Color invariants
Segmentation
Gestalt principles
Hough
generalized Hough
watersheds
thresholding
hierarchical clustering
k-means clustering
GMM clustering
mean shift clustering
normalized cuts
Mathematical morphology (binary and grayscale)
Video analysis
motion field of rigid objects
optical flow
aperture problem
Horn-Schunk method
Lucas-Kanade method
motion-based segmentation
background subtraction
object tracking
Kalman filter